This function calculates the proportion of variance of genes in each module explained by the respective module eigengene.
propVarExplained(datExpr, colors, MEs, corFnc = "cor", corOptions = "use = 'p'")A vector with one entry per eigengene containing the proportion of variance of the module explained by the eigengene.
expression data. A data frame in which columns are genes and rows ar samples. NAs are allowed and will be ignored.
a vector giving module assignment for genes given in datExpr. Unique values
should correspond to the names of the eigengenes in MEs.
a data frame of module eigengenes in which each column is an eigengene and each row corresponds to a sample.
character string containing the name of the function to calculate correlation. Suggested
functions include "cor" and "bicor".
further argument to the correlation function.
Peter Langfelder
For compatibility with other functions, entries in color are matched to a substring of
names(MEs) starting at position 3. For example, the entry "turquoise" in colors will
be matched to the eigengene named "MEturquoise". The first two characters of the eigengene name
are ignored and can be arbitrary.
moduleEigengenes